How to perform nonlinear regression across multiple datasets in MATLAB? Write a MATLAB programme to fit the below model to the 4 given data sets. Parameters A1, A2, Y are unknown fitting parameters (which are common across all data sets). T= 3.10755e-19, 3.36127e-19, 3.22524e-19, 3.15416e-19 for data sets 1,2,3 & 4 respectively. ARon/Ron are the data set y values &tis the data set x values. Model to fit: ARON Ron Aj. In 1+ (1+4) + A2 In (1+ 1+) Data: Dataset 1 Dataset 2 Dataset 3 Dataset 4 Y Y X ly 0 0 0 0.00E+00 3.60E+03 7.21E+03 1.00E+04 1.44E+04 1.80E+04 2.16E+04 2.52E+04 2.88E+04 3.24E+04 + 0 0.850149996 1.19401382 1.470331057 1.717810636 1.951372271 2.180596328 2.363314416 2.57788858 2.7819979961 0.00E+00 3.60E+03 7.21E+03 1.08E+04 1.44E+04 + 1.80E+04 2.16E+04 2.52E+04 2.88E+04 1.12465595 1.346980933 1.516458238 1.688253375 1.810110851 1.940857975 2.067912147 2.167128124 2.261428104 0.00E+00 3.60E+03 7.21E+03 1.08E+04 1.44E+04 1.80E+04 2.16E+04 2.52E+04 2.88E+04 3.24E+04 0.418226974 0.509283834 0.566780287 0.618508886 0.650175014 0.691427136 0.714707096 0.739713491 0.7879871481 0.00E+00 3.60E+03 7.21E+03 1.08E+04 1.44E+04 1.80E+04 2.16E+04 2.52E+04 2.88E+04 3.24E+04 1.716188788 2.429322546 3.039344304 3.598553157 4.149165087 4.678909656 5.146962725 5.631900217 6.079092813 3.24E+04 How to perform nonlinear regression across multiple datasets in MATLAB? Write a MATLAB programme to fit the below model to the 4 given data sets. Parameters A1, A2, Y are unknown fitting parameters (which are common across all data sets). T= 3.10755e-19, 3.36127e-19, 3.22524e-19, 3.15416e-19 for data sets 1,2,3 & 4 respectively. ARon/Ron are the data set y values &tis the data set x values. Model to fit: ARON Ron Aj. In 1+ (1+4) + A2 In (1+ 1+) Data: Dataset 1 Dataset 2 Dataset 3 Dataset 4 Y Y X ly 0 0 0 0.00E+00 3.60E+03 7.21E+03 1.00E+04 1.44E+04 1.80E+04 2.16E+04 2.52E+04 2.88E+04 3.24E+04 + 0 0.850149996 1.19401382 1.470331057 1.717810636 1.951372271 2.180596328 2.363314416 2.57788858 2.7819979961 0.00E+00 3.60E+03 7.21E+03 1.08E+04 1.44E+04 + 1.80E+04 2.16E+04 2.52E+04 2.88E+04 1.12465595 1.346980933 1.516458238 1.688253375 1.810110851 1.940857975 2.067912147 2.167128124 2.261428104 0.00E+00 3.60E+03 7.21E+03 1.08E+04 1.44E+04 1.80E+04 2.16E+04 2.52E+04 2.88E+04 3.24E+04 0.418226974 0.509283834 0.566780287 0.618508886 0.650175014 0.691427136 0.714707096 0.739713491 0.7879871481 0.00E+00 3.60E+03 7.21E+03 1.08E+04 1.44E+04 1.80E+04 2.16E+04 2.52E+04 2.88E+04 3.24E+04 1.716188788 2.429322546 3.039344304 3.598553157 4.149165087 4.678909656 5.146962725 5.631900217 6.079092813 3.24E+04
